Tools
Open evaluation frameworks for safe software development. Evaluate AI infrastructure, scan for anti-patterns, and make informed release decisions.
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AI Safety Evaluation
Evaluate any AI system against 7 constraint-mandatory principles. Four modes: quick check, procurement review, code scanner, and architecture review.
Release Decision
Seven questions to ask before you open source anything that could be misused. Stripping potential, dual-use risk, licensing strategy.
AI Behavioural Testing
Test AI systems for confabulation, contradiction, gaslighting, and manipulation. Copy-paste test prompts included.
AI Psychosis
How AI affects you. Mental health safety testing for AI systems, plus a self-assessment for your own relationship with AI.
The Slop Test
Seven questions to find out if your AI idea is ready, or if you have more work to do. For builders and evaluators.
Cross-Jurisdiction Compliance
Compare AI regulations across the EU, US, UK, Australia, and China. Filter by product type. Understand what each jurisdiction requires and where the gaps are.
Readiness Assessment
See where your organisation is today and what structural safety would change. Sector-specific results with a clear integration path.
The constraint-mandatory approach
Every tool on this page applies the same principle: safety should be the easiest path, not the hardest. When the architecture does the work, everyone who builds on it benefits.
We build evaluation frameworks alongside the infrastructure they test. These tools came out of building protocols and standards for the next generation of AI products, and they exist to help developers, researchers, and organisations make informed decisions about safety, privacy architecture, and responsible release.